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HubSpot MCP

HubSpot MCP

by shinzo-labs
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

products_batch_update

Modify multiple products simultaneously in HubSpot MCP by updating properties such as name, description, price, or SKU using internal ID or a specified unique identifier.

Instructions

Update a batch of products by internal ID, or unique values specified by the idProperty query param.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "inputs": "<inputs>"
    },
    "name": "products_batch_update"
  }
}

Input Schema

NameRequiredDescriptionDefault
inputsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a mutation operation ('Update') but fails to mention critical aspects like required permissions, whether updates are idempotent or reversible, rate limits, or error handling. This leaves significant gaps in understanding the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core action ('Update a batch of products'). It avoids redundancy but could be more structured by separating key concepts like identification methods and update scope.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a batch update tool with 0% schema coverage, no annotations, and no output schema, the description is insufficient. It lacks details on input structure, behavioral constraints, error responses, and sibling tool differentiation, making it incomplete for safe and effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It only mentions 'idProperty' in passing without explaining its role or how it interacts with 'id'. The complex 'inputs' array structure and nested 'properties' object are not addressed, leaving most parameter semantics unclear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Update a batch of products') and specifies the target ('by internal ID, or unique values specified by the `idProperty` query param'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like 'products_update' (single update) or 'products_batch_create', leaving room for ambiguity in sibling context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as 'products_update' for single updates or 'products_batch_create' for creation. The description mentions the 'idProperty' param but doesn't explain its use cases or prerequisites, offering minimal contextual direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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